"Mixed Methods in Program Evaluation"

"Mixed Methods in Program Evaluation"

Mixed Methods in Program Evaluation Presented by Tom Chapel Thomas J. Chapel, MA, MBA Chief Evaluation Officer Centers for Disease Control and Prevention [email protected] 404-639-2116 Agenda 1. The why and how of mixed methods:

Rationale Options Challenges Criteria for making choices 2. Apply points to some simple examples

CDCs Evaluation Framework STEPS Engage stakeholders Ensure use and share lessons learned Standards Utility

Feasibility Propriety Accuracy Justify conclusions Gather credible evidence Describe the

program Focus the evaluation design The Standards apply especially when were trying to make data collection choices. CDCs Evaluation Standards

Standards Utility Feasibility Propriety Accuracy The Standards provide a quick and easy way to identify the 2 or 3 best data collection choices for this

evaluation. CDCs Evaluation Framework STEPS Not Collect data Not Analyze data Rather Engage stakeholders Ensure use

and share lessons learned Standards Utility Feasibility Propriety Accuracy Justify conclusions

Gather credible evidence Gather credible evidence Describe the program Focus the

evaluation design Steps 1-3 Help You Focus Design And Data Collection Choices After the first 3 steps of the Evaluation Framework, we know which evidence will work for these stakeholders in this situation. Qualitative data? Quantitative data?

Randomized control trials? Performance measures? CDCs Evaluation Standards Standards Utility Feasibility Propriety Accuracy

The Evaluation Standards help us narrow down our data collection choices to the handful of methods that will work for this evaluation at this time. Mixed Methods Data collection methods that will work for this evaluation at this time sometimes means surveys or

focus groups. But sometimes there is no one best way. The best choice would be a combination of methods or mixed methods. Six (Most) Common Ways to Collect Data

How Standards Inform the Choice of Methods Consider the context : Standards Utility Feasibility Propriety Accuracy How soon do I need the

results? What resources can I use? Are there any ethical issues to consider? How Standards Inform the Choice of Methods Also consider the content : Standards

Utility Feasibility Propriety Accuracy Sensitivity of the issue How Standards Inform the Choice of Methods Also consider the content : Standards Utility

Feasibility Propriety Accuracy The Hawthorne Effect Will the act of being observed cause someone to distort their response? How Standards Inform the Choice of Methods Also consider the content :

Standards Utility Feasibility Propriety Accuracy Validity Reliability Mixed Methods Address Concerns Key Concept: Regardless of the method, when there are

validity and reliability concerns, often using more than one method-- i.e., mixed methods-will help. Mixed Methods: Definition The combination of at least one qualitative and at least one quantitative component in a single research project or program. (Bergman 2008) Use Complementary Methods Mixed methods is: A combination of methods

that has complementary strengths and nonoverlapping weaknesses. The purpose is to supplement or complement the validity and reliability of the information. Strengths of Quantitative Methods Strengths of quantitative methods:

Require less time than qualitative methods Cost less Permit researcher control Quantitative data is considered to be scientific Easier to explain validity and reliability

Easily amenable to statistical analyses Strengths of Qualitative Methods Choose qualitative methods when you are trying to: Explore or describe a phenomenon

Strengths of Qualitative Methods Choose qualitative methods when you are trying to: Look for induction (i.e., surprise) Strengths of Qualitative Methods Choose qualitative methods

when you are trying to: Identify patterns Strengths of Qualitative Methods Qualitative data can help you understand not just what but WHY. When to Use Mixed Methods 1. Corroboration

better understanding; more credibility triangulation measuring the same thing from several different viewpoints 2. Clarification trying to understand why we got this result When to Use Mixed Methods Mixed Methods are most commonly used for: 3. Explanation similar to clarification want to know the why or what behind the situation 4. Exploration similar to explanation

charting new territory trying to observe patterns examine different situations and varying results to induce patterns Number of Project Facets Reported via Each Data Collection Method Source: Gregory Guest, PhD Number of Project Facets Reported via Each Data Collection Method

This is an example of using a qualitative method (site visits) to corroborate a quantitative method (surveys). The result was increased validity of the data. Source: Gregory Guest, PhD Which to Choose? How do you choose which methods

to use? Which method comes first, the quantitative or the qualitative? You have a lot of flexibility in these decisions. Parallel or Concurrent Mixed Methods QUANTITATIVE QUALITATIVE For parallel or concurrent mixed methods,

quantitative and qualitative data collection happen at the same time. Sequential Mixed Methods QUANTITATIVE QUALITATIVE OR QUALITATIVE

QUANTITATIVE For sequential mixed methods, either quantitative or qualitative data collection can happen first. Example of Sequential Mixed Methods to Corroborate Data QUALITATIVE In this case, the qualitative method (site visits) was used to corroborate the

quantitative (survey) method and the results were different. QUANTITATIVE Mixed Methods Is Your Choice You are never required to use mixed methods. However, you may choose to use mixed methods when: you have some indication that a single method may give you incorrect data.

a single method may give you an incorrect perception of reality. Mixing Methods During Data Analysis Qualitative data (focus groups, observations, secondary data, etc.) can be converted to numbers via quantitative techniques like content analysis.

This is also a mixed method design approach. Mixing Methods During Data Analysis Qualitative data can be very complex. Examining qualitative data with quantitative techniques helps to identify or validate patterns or themes.

Deciding When To Use Mixed Methods and How Key Concept: Using mixed methods is a deliberate design decision. You use it when you dont trust the data from any single method. The reason for your uncertainty determines the methods you choose to mix and the order in which you use them. Example 1 Concurrent Design

Do people give similar responses on Problem surveysor as Purpose: well as in focus groups? Survey (quantitative) and Example focus groups

(qualitative) are Example 2 Explanatory Sequential Design Use a qualitative method to explain Problem or Purpose: blindside results from a quantitative

method. Survey Example (quantitative) Example 3 Exploratory Sequential Design Problem or Purpose: Explore Verify suspected patterns

Focus Example groups Design Options Summary You mix quantitative and qualitative methods in a different order depending on the presenting problem: Validate results

Design Options Summary You mix quantitative and qualitative methods in a different order depending on the presenting problem: Validate results Explain the unexpected Design Options Summary You mix quantitative and qualitative methods in a different order depending on the presenting

problem: Validate results Explain the unexpected Explore new themes Selected Resources (Page 1 of 2) Caracelli, V. and J. Greene (eds.). 1997. Advances in MixedMethod Evaluation: The Challenges and Benefits of Integrating Diverse Paradigms. San Francisco, CA: Jossey-Bass. Creswell, J. and V. Plano Clark. 2010. Designing and Conducting Mixed Methods Research, 2nd edition.

Thousand Oaks, CA. Sage Publications. Morse, J. and L. Niehaus. 2009. Mixed Method Design: Principles and Procedures. Walnut Creek, CA. Left Coast Press. Selected Resources (Page 2 of 2) Johnson, R. Burke, and L. Christensen. Evaluation Methods. 2008. www.southalabama.edu/coe/bset/johnson/ Plano Clark, V. and J. Creswell. 2008. The Mixed Methods Reader. Thousand Oaks, CA: Sage Publications. Teddlie, C. and Tashakkori, A. 2009. Foundations of Mixed

Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Thousand Oaks, CA. Sage Publications. Recommended Resource Creswell, J. and V. Plano Clark. 2010. Designing and Conducting Mixed Methods Research, 2nd edition. Thousand Oaks, CA. Sage Publications. The Community Tool Box

Community Tool Box http://ctb.ku.edu Chapter 37, Section 5. Collecting and Analyzing Data End Mixed Methods Return to Webinar 4: Gathering Data, Developing Conclusions, and Putting Your Findings to Use Return to Evaluation Webinars home page

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